Implementation Of Image Analysis Techniques For Various Textile Identification

TL;DR

This paper reviews image analysis techniques for textile identification, discussing methods for image correction and modeling to improve accuracy in recognizing textile products.

Contribution

It provides a comprehensive overview of image correction and analysis methods specifically applied to textile identification, including both automatic and semi-automatic techniques.

Findings

Effective image correction methods enhance textile identification accuracy.

Various image processing techniques like median filtration and Fourier transform are applicable.

The review highlights the evolution and current state of image analysis in textiles.

Abstract

Computer image analysis techniques used to identify textile products are presented in this chapter, together with a brief review of the historical development of the method. Automatic and semi-automatic image correction methods are described, which are often used for identification of textile yarn products, and can also be used to identify various textile indentification. Keywords: digital image acquirement, image modeling, image quality improvement, image correction methods, median filtration, Laplace filter, threshold function, autocorrelation, Fourier transform, erosion, dilatation, digitalisation algorithm